The insights collected during the return process can have a huge impact on your business. We've heard from merchants that have corrected manufacture defects, updated sizing information, canceled product lines as a result of studying their returns data. 

Clear reasons and dispositions are essential to actionable returns data. 

Return Reasons are what shoppers select when they're creating a return. 

Best practices: cover as many use cases as possible with no overlap between reasons. For example, you would not want to put "Too Big" "Too Small" and "Size". 

Think about what data will be most helpful for improving your product and actionable for improving. If these reasons don't help you get better, they're not very useful.

Collector Dispositions are what your warehouse team sets when they receive a return and grade the product. Best practice: clearly define to your team the criteria for each disposition. Limit subjectivity as much as possible. Align your physical space where returns are received with your digital space where returns are processed. 

If you have any questions about the answer above, feel free to email us at support@returnlogic.com.